G
Giuseppina Gini
Researcher at Polytechnic University of Milan
Publications - 205
Citations - 3487
Giuseppina Gini is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Robot & Quantitative structure–activity relationship. The author has an hindex of 29, co-authored 203 publications receiving 3098 citations. Previous affiliations of Giuseppina Gini include Mario Negri Institute for Pharmacological Research & Stanford University.
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Proceedings ArticleDOI
An EMG-controlled exoskeleton for hand rehabilitation
TL;DR: The system designed is intended for people who have partially lost the ability to control correctly the hand musculature, for example after a stroke or a spinal cord injure, and can "understand" the subject volition to move the hand and thanks to its actuators can help the fingers movement in order to perform the task.
Journal ArticleDOI
QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells.
Andrey A. Toropov,Alla P. Toropova,Tomasz Puzyn,Emilio Benfenati,Giuseppina Gini,Danuta Leszczynska,Jerzy Leszczynski +6 more
TL;DR: The concept of a QSAR as a random event is suggested in opposition to "classic" QSPR/QSARs which are based on the only one distribution of available data into the training and the validation sets.
Journal ArticleDOI
Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction.
Thomas Ferrari,Dario Cattaneo,Giuseppina Gini,N. Golbamaki Bakhtyari,Alberto Manganaro,Emilio Benfenati +5 more
TL;DR: This work proposes a new structure–activity relationship (SAR) approach to mine molecular fragments that act as structural alerts for biological activity, and has been tested on the mutagenicity endpoint, showing marked prediction skills and bringing to the surface much of the knowledge already collected in the literature as well as new evidence.
Journal ArticleDOI
CORAL: quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats.
Alla P. Toropova,Andrey A. Toropov,Emilio Benfenati,Giuseppina Gini,Danuta Leszczynska,Jerzy Leszczynski +5 more
TL;DR: For six random splits, one‐variable models of rat toxicity (minus decimal logarithm of the 50% lethal dose [pLD50], oral exposure) have been calculated with CORAL software (http://www.insilico.eu/coral/).
VEGA-QSAR: AI Inside a Platform for Predictive Toxicology.
TL;DR: An initiative aimed to establish a dialogue within the community of scientists, regulators, industry representatives, offering a platform which combines the predictive capability of computer models, with some explanation tools, which may be convincing and helpful for human users to derive a conclusion.